189 search results - page 28 / 38 » Estimating the Intrinsic Dimension of Data with a Fractal-Ba... |
ACL
2009
14 years 7 months ago
2009
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
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DAGM
2010
Springer
14 years 10 months ago
2010
Springer
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
IGIS
1994
15 years 1 months ago
1994
There have been many interpolation methods developed over the years, each with their own problems. One of the biggest limitations in many applications is the non-correspondence of...
BMCBI
2010
14 years 9 months ago
2010
Background: The clustered heat map is the most popular means of visualizing genomic data. It compactly displays a large amount of data in an intuitive format that facilitates the ...
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TIP
2002
14 years 9 months ago
2002
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...